Skip to main content

Representational Similarity Measures for Deep Learning

Project description

DeepReps is a comprehensive library designed to centralize various measures of similarity for deep learning representations. It is specifically tailored for comparing the weights and outputs of deep learning models, providing a valuable toolkit for researchers and practitioners to assess and analyze model similarities.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deep_reps-0.0.4.tar.gz (6.2 kB view details)

Uploaded Source

File details

Details for the file deep_reps-0.0.4.tar.gz.

File metadata

  • Download URL: deep_reps-0.0.4.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for deep_reps-0.0.4.tar.gz
Algorithm Hash digest
SHA256 9dc731d941753a56a496d3467545af14a98099fd19a1fecf70af9f393d22baf4
MD5 4f53ec196de0677b41544b1fc3409dba
BLAKE2b-256 1d572b7ab3a4de9053b13c17aa20a19f4457cdbd773e4b049a435a44cc7538fd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page